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Apply Data Science

Introduction, Applications and Projects

Produktform: E-Buch Text Elektronisches Buch in proprietärem

This book offers an introduction to the topic of data science based on the visual processing of data. It deals with ethical considerations in the digital transformation and presents a process framework for the evaluation of technologies. It also explains special features and findings on the failure of data science projects and presents recommendation systems in consideration of current developments. Machine learning functionality in business analytics tools is compared and the use of a process model for data science is shown.The integration of renewable energies using the example of photovoltaic systems, more efficient use of thermal energy, scientific literature evaluation, customer satisfaction in the automotive industry and a framework for the analysis of vehicle data serve as application examples for the concrete use of data science. The book offers important information that is just as relevant for practitioners as for students and teachers.weiterlesen

Elektronisches Format: PDF

Sprache(n): Englisch

ISBN: 978-3-658-38798-3 / 978-3658387983 / 9783658387983

Verlag: Springer Fachmedien Wiesbaden GmbH

Erscheinungsdatum: 01.01.2023

Seiten: 232

Herausgegeben von Christian Müller, Thomas Barton

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